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Personalized News

Personalized News. Josh Alspector, Alek Kolcz - University of Colorado at Colorado Springs. NewSense. User reads news normally Adaptive user model Headline words, keywords natural language processing Suggests articles to read Reconfigure web pages Extend to all interesting information.

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Personalized News

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  1. Personalized News Josh Alspector, Alek Kolcz - University of Colorado at Colorado Springs

  2. NewSense • User reads news normally • Adaptive user model • Headline words, keywords • natural language processing • Suggests articles to read • Reconfigure web pages • Extend to all interesting information

  3. Data Analysis • “Bag of words” for visited headlines • stemming, stop words • Score recent words higher • Similarity measure • cosine (query, document) word vectors • “Query” based on visited documents • terms in relevant (visited) - factor*terms in irrelevant (not visited) documents

  4. Evaluation of Data • Precision: well-defined • visited&relevant/all visited • Recall: ill-defined here • visited&relevant/all&relevant • Use avg. precision • weighted by threshold of relevancy • Rocchio and Bayes are best: P=0.75

  5. Universal Content Advisor • Model for other intuitive systems • shopping advisor • personal information broker • space flight system advisor • Personal preference models • key to agent-based systems • information filters • targeted advertising

  6. Intuitive Technology • Ubiquitous • all users have tools and networks • Invisible • helpful, not obtrusive • Inexpensive and widely available • Smart, adapt to user • Intuitive, not just user-friendly

  7. Conclusion • Personal advisor • Unobtrusive and intuitive • Help to user • Useful to advertiser • Makes content as well as sales both useful and personal • Applicable to all information sources

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